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Multimedia Information Retrieval : Content-Based Information Retrieval from Large Text and Audio Databases - Peter K. Schauble

Multimedia Information Retrieval

Content-Based Information Retrieval from Large Text and Audio Databases

Hardcover

Published: 30th April 1997
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Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases addresses the future need for sophisticated search techniques that will be required to find relevant information in large digital data repositories, such as digital libraries and other multimedia databases. Because of the dramatically increasing amount of multimedia data available, there is a growing need for new search techniques that provide not only fewer bits, but also the most relevant bits, to those searching for multimedia digital data. This book serves to bridge the gap between classic ranking of text documents and modern information retrieval where composite multimedia documents are searched for relevant information.
Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases begins to pave the way for speech retrieval; only recently has the search for information in speech recordings become feasible. This book provides the necessary introduction to speech recognition while discussing probabilistic retrieval and text retrieval, key topics in classic information retrieval. The book then discusses speech retrieval, which is even more challenging than retrieving text documents because word boundaries are difficult to detect, and recognition errors affect the retrieval effectiveness. This book also addresses the problem of integrating information retrieval and database functions, since there is an increasing need for retrieving information from frequently changing data collections which are organized and managed by a database system.
Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases serves as an excellent reference source and may be used as a text for advanced courses on the topic.

Preface
Introductionp. 1
Probabilistic Retrievalp. 33
Text Retrievalp. 49
Automatic Speech Recognitionp. 61
Speech Retrievalp. 121
Case Study: Retrieving Scanned Library Cardsp. 139
Integrating Information Retrieval and Database Functionsp. 157
Outlookp. 171
Theorems and Proofsp. 173
Bibliographyp. 177
Indexp. 187
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780792398998
ISBN-10: 0792398998
Series: KLUWER INTERNATIONAL SERIES IN ENGINEERING AND COMPUTER SCIENCE
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 190
Published: 30th April 1997
Publisher: Springer
Country of Publication: NL
Dimensions (cm): 24.77 x 16.51  x 1.91
Weight (kg): 0.52